| 遥感影像仿射不变特征匹配的自动优化 |
| |
| 引用本文： | 程亮, 龚健雅, 韩鹏, 宋小刚. 遥感影像仿射不变特征匹配的自动优化[J]. 武汉大学学报 ( 信息科学版), 2009, 34(4): 418-422. |
| |
| 作者姓名： | 程亮 龚健雅 韩鹏 宋小刚 |
| |
| 作者单位： | 1南京大学地理信息科学系,南京市汉口路22号210093;2武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079;3西安测绘研究所,西安市雁塔中路1号710054;4中国地震局地质研究所地震动力学国家重点实验室,北京市德胜门外祁家豁子100029 |
| |
| 基金项目： | 国家重点基础研究发展规划(973计划)，教育部高等学校博士学科点专项科研基金 |
| |
| 摘 要： | 针对基于仿射不变特征的遥感影像匹配技术,提出了一种自动优化方法,以进一步提高匹配准确性。根据典型需求形成了两套优化实施方案,基于所提出的自动优化方法实现了相应具体算法。针对不同类型的多组影像,自动优化的效果与相应方案的预定目标一致,充分证明了本方法的有效性与适用性。
|
| 关 键 词： | 仿射不变特征 特征匹配 RANSAC 自动优化 匹配正确率 |
| 收稿时间： | 2009-01-20 |
| 修稿时间： | 2009-01-20 |
Automatic Optimization for Affine Invariant Feature Matching on Remote Sensing Imagery |
| |
| CHENG Liang, GONG Jianya, HAN Peng, SONG Xiaogang. Automatic Optimization for Affine Invariant Feature Matching on Remote Sensing Imagery[J]. Geomatics and Information Science of Wuhan University, 2009, 34(4): 418-422. |
| |
| Authors: | CHENG Liang GONG Jianya HAN Peng SONG Xiaogang |
| |
| Affiliation: | 1Department of Geographic Information Science,Nanjing University,22 Hankou Road,Nanjing 210093,China;2State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,Wuhan 430079,China;3Xi'an Institute of Surveying and Mapping,1 Middle Yanta Road,Xi'an 710054,China;4State Key Laboratory of Earthquake Dynamics,Institute of Geology,China Earthquake Administration, Qijiahuozi,Beijing 100029,China |
| |
| Abstract: | An automated optimization method for affine invariant feature matching on remote sensing imagery is proposed.The correct matching rate is developed as an evaluation criterion of the optimized processing for affine invariant feature matching,which guarantees the quality of the optimized processing and realizes automated processing.Overlap rate is calculated by projecting a local region onto the corresponding region based on homograhpy,upon which a correct matching rate is determined.For different purposes,two classical optimization solutions are introduced.The algorithm for each solution is implemented based on the proposed method.By using one stereo satellite image and two stereo aerial images with different types,the experiment indicates that the results of feature matching can be optimized automated and accurately by our method according to corresponding optimization solution. |
| |
| Keywords: | RANSAC |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息 |
|
点击此处可从《武汉大学学报(信息科学版)》下载全文 |
|
